聚類抽樣 的英文怎麼說
中文拼音 [jùlèichōuyàng]
聚類抽樣
英文
cluster sampling- 聚 : 動詞(聚集; 聚積) assemble; gather; get together
- 類 : Ⅰ名1 (許多相似或相同的事物的綜合; 種類) class; category; kind; type 2 (姓氏) a surname Ⅱ動詞...
- 抽 : 動詞1 (把夾在中間的東西拉出; 提取) take out (from in between) 2 (從全部里取出一部分; 騰出) ...
- 樣 : Ⅰ名詞1. (形狀) appearance; shape 2. (樣品) sample; model; pattern Ⅱ量詞(表示事物的種類) kind; type
- 抽樣 : [統計] sample; sampling; specimen; samples draw
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The classification standard of 1 - year - old transplant and non transplant seedlings of zanthxyhum planisnum var. dingtanenesis was preliminarily studied by the principal component analysis, the sampling stratification and the clustering gradually analysis
摘要運用主成分分析法、分層抽樣、逐步聚類分析法,對頂壇花椒1年生移植苗和留床苗的分級標準進行初步研究。Based on the review of and comment on the concepts and theories of attitude and travel attitude and the current research situations about travel attitude, according to three element theories of the attitude, by way of random sampling of strata, the paper has carried on measurement of travel attitude of zhengzhou city, wuzhi county and yuanyang county resident. in writing this paper, the author designed a travel attitude inventory, which had been proved to be of good reliability and validity. then it carries on factor analysis and cluster ' s analysis to the measurement
本研究在對態度、旅遊態度的概念、理論和旅遊態度的研究現狀進行述評的基礎上,依據態度的三元素理論,採用經過信度、效度檢驗的自編旅遊態度問卷,以分層隨機抽樣的方式,對鄭州市、武陟縣和原陽縣居民的旅遊態度進行了測量,並對測量數據進行因素分析和聚類分析。Clustering algorithm based on random - sampling and cluster - feature
基於隨機抽樣和聚類特徵的聚類演算法If it is not good enough, optimal control module based on principle component analysis and clustering search will function for optimization. this algorithm makes no request for accurate analytical model and maintains search efficiency and self - adjusting performance by an optimal parameter set derived from process data, which is proved to be effective. by practical running of dcs, a prominent tracing performance is gained and variation of parameters is limited in a small range, which enhance stability and production benefit of sintering process obviously
燒結過程是一個影響因素復雜、干擾嚴重、具有不確定性的工業過程,傳統的基於對象精確解析模型的優化策略難以奏效,因此在控制參數優化模塊中提出了一種基於主元分析和聚類搜索的優化匹配演算法,該演算法不要求對象的精確模型,其搜索效率和自校正性能依賴于從生產過程歷史數據中抽取的優化參數樣本庫,充分利用了燒結生產過程積累的生產數據所包含的信息,取得了不錯的效果。The following merits can gain by using the clustering method : a. the sampling quantity can be reduced by using the method to test the segmentation of the large - scale corpus ; b. the testing precision can be improved and the variance of population can be estimated more exactly
與已有的簡單隨機抽樣方法相比,本文提出的方法在大規模語料庫分詞質量評價時,有如下優點; a通過聚類得到語料庫抽樣樣本分詞正確率的分層知識,進而在檢驗中運用分層抽樣帶來的增益減少檢驗的費用: bThis method compresses chinese font with three steps : stroke extraction, stroke outline clustering and character shape rebuilding
這樣結構式壓縮方法通過對現有輪廓字形進行筆劃輪廓抽取、筆劃輪廓聚類和字形重建製作結構式的壓縮字形。The indicators system involes seven subsystems, economical level 、 population and employment 、 resources and environment 、 technology and education 、 culture and health, quality of life, social security and safeguard subsystem. then took globle principal component analysis, composite index analysis and clustering analysis as tools in empirical study. this aimed at enriching the content of the comprehensive evaluation indicators system of the social development level ; made it porttay that the social development level of sichuan
社會發展水平研究方法,本文採用描述統計法、加權指數法、全局主成分分析方法和聚類分析方法相結合的方法。本文的資料來源於四川省統計局的抽樣調查,選取了四川省1999 ? 2004年社會發展水平數據、四川省各市州2003年、 2004年兩年的社會發展水平數據。Using stratified two - stage sampling, collaborated with the nature of processed data and hierarchical cluster, the design can fairly satisfy the requirements of different levels regarding to the economic development of yunnan province and its sampling technology
摘要為適應雲南省經濟體制的發展,提高應用抽樣調查技術的水平,在考慮雲南省個體或私營企業有關調查數據特點的基礎上,設計了具有針對性的自然分層與聚類分層相接合的分層二階抽樣方案。分享友人